Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models

Alexandre L. M. Levada. Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models. In Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blecic, David Taniar, Bernady O. Apduhan, Ana Maria A. C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, editors, Computational Science and Its Applications - ICCSA 2021 - 21st International Conference, Cagliari, Italy, September 13-16, 2021, Proceedings, Part II. Volume 12950 of Lecture Notes in Computer Science, pages 55-69, Springer, 2021. [doi]

Abstract

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